code: def _test_input_format_f_contiguous_pandas(queue, dtype):
      pd = pytest.importorskip("pandas")
      rng = np.random.RandomState(0)
      x_default = np.array(5 * rng.random_sample((10, 4)), dtype=dtype)
  
      x_numpy = np.asanyarray(x_default, dtype=dtype, order="F")
      assert not x_numpy.flags.c_contiguous
      assert x_numpy.flags.f_contiguous
      assert x_numpy.flags.fnc
      x_df = pd.DataFrame(x_numpy)
  
      expected = linear_kernel(x_df, queue=queue)
      result = linear_kernel(x_numpy, queue=queue)
      assert_allclose(expected, result)
  
file_path: scikit-learn-intelex/onedal/datatypes/tests/test_data.py
imports: import numpy
  import pytest
  from numpy.testing import assert_allclose
  from onedal import _backend
  from onedal.primitives import linear_kernel
  from onedal.tests.utils._device_selection import get_queues
label_desc: Use image node_id 9 for calling a global function with example usage: _test_input_format_f_contiguous_pandas(queue, dtype) without return types